Traffic Information Real-Time Monitoring Based on A Short-Long Term Algorithm

Author

Kai, Cao ; Zhang, Kai-Wang ; Hamamatsu, Y.

Author_Institution

Shandong Univ. of Tech., Zhangdian

Volume

1

fYear

2006

fDate

8-11 Oct. 2006

Firstpage

651

Lastpage

656

Abstract

In this paper, we propose an approach for forecasting traffic flow, in which a short-term forecasting scheme is combined with a long-term forecasting scheme for enhancing power of the forecasting model in the recent trend tracing and the "average" pattern identifying. We employ a double exponential smoothing (DES) model and a support vector machines (SVM) model for a short-term scheme, and a Markov forecasting model for a long-term scheme. Additionally, the combined forecasting model is applied to forecasting the traffic flow of the Route 23 in Nagoya-shi, Aichi-ken, Japan.

Keywords

Markov processes; forecasting theory; road traffic; smoothing methods; support vector machines; Markov forecasting model; average pattern identification; double exponential smoothing; forecasting traffic flow; long-term forecasting; real-time monitoring; short-long term algorithm; short-term forecasting; support vector machines; traffic information; Adaptive control; Cybernetics; Demand forecasting; Monitoring; Predictive models; Programmable control; Smoothing methods; Support vector machines; Topology; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on

Conference_Location

Taipei

Print_ISBN

1-4244-0099-6

Electronic_ISBN

1-4244-0100-3

Type

conf

DOI

10.1109/ICSMC.2006.384459

Filename

4273906